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Author

Mahalakshmi K

Bio: Mahalakshmi K is an academic researcher. The author has contributed to research in topics: Computer science & Snowball sampling. The author has co-authored 3 publications.

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Journal ArticleDOI
TL;DR: In this paper , the authors proposed a system to automatically detect the number plate and recognize it using optical character recognition method, which involves using matching techniques to check whether the car plate image matches the data in the database.
Abstract: The research has proposed a system to automatically detect the number plate and recognize it using optical character recognition method. Before taking a image of the number plate, the developed system first recognizes the car. Image segmentation is used to recover the portion of an image that contains the vehicle identification number. Character recognition is accomplished using an optical character recognition technique. This involves using matching techniques to check whether the car plate image matches the data in the database. The warning sign will show when authenticity is verified, and the car will then be permitted to enter the designated area. Real-time video is captured to evaluate the system's functionality, and Python is used to create and simulate the system. Due to its promising nature the suggested method is employed in the automated vehicle authentication in universities in future.
Journal ArticleDOI
TL;DR: A Study on Depression among Transgender Residing In Chennai District, Tamil Nadu and how to cite this article: Prasanth BK, Mahalakshmi K, Umadevi R, Anantha Eashwar VM; Natl J Community Med 2022;13(2):96-99.
Abstract: Financial Support: None declared Conflict of Interest: None declared Date of Submission: 02-01-2022 Date of Acceptance: 28-01-2022 Date of Publication: 28-02-2022 Correspondence: Dr.VM Anantha Eashwar (Email: eashwaranand@yahoo.in) Copy Right: The Journal retains the copyrights of this article. However, reproduction is permissible with due acknowledgement of the source. National Journal of Community Medicine│Volume 13│Issue 02│February 2022 Page 96 How to cite this article: Prasanth BK, Mahalakshmi K, Umadevi R, Anantha Eashwar VM. A Study on Depression among Transgender Residing In Chennai District, Tamil Nadu. Natl J Community Med 2022;13(2):96-99. DOI: 10.5455/njcm.20220102030123 ORIGINAL RESEARCH ARTICLE pISSN 0976 3325│eISSN 2229 6816 Open Access Article (CC BY-SA) www.njcmindia.org DOI: 10.5455/njcm.20220102030123 A Study on Depression among Transgender Residing In Chennai District, Tamil Nadu Krishna Prasanth B1, Mahalakshmi K2, Umadevi R3, Anantha Eashwar VM4 1Research Scholar, Department of Community Medicine, Sree Balaji Medical College and Hospital, Chennai 2Professor & Head, Department of Microbiology, Sree Balaji Dental College & Hospital, Chennai 3Professor & Head, Department of Community Medicine, Sree Balaji Medical College and Hospital, Chennai 4Assistant Professor, Department of Community Medicine, Sree Balaji Medical and Hospital, Chrompet, Chennai
Journal ArticleDOI
TL;DR: In this article , a real-time online consumer behavior prediction system that anticipates a visitor's purchasing intent using session and visitor data and assesses the effectiveness of continuous learning with the Naive Bayes strategy is proposed.
Abstract: Online shopping through e-commerce has gained widespread popularity among consumers, revolutionizing the operations of businesses in the global market. This paper examines the benefits of e-commerce, such as its convenience and the ease of comparing prices and products, as well as the difficulty customers may encounter when selecting the optimal product. To overcome this difficulty, the paper suggests a real-time online consumer behavior prediction system that anticipates a visitor's purchasing intent using session and visitor data and assesses the effectiveness of Continuous Learning with the Naive Bayes strategy. The article also focuses on developing a recommendation system that strikes a balance between increasing precision and safeguarding users' privacy, utilizing the Prize dataset to assess the system's accuracy. Additionally, the paper delves into the domain of opinion mining, outlining its objectives and responsibilities, such as anticipating sentiment, summarizing aspect-based sentiment, and predicting the helpfulness of online feedback and reviews.